Eric V Anslyn

About

Eric V Anslyn is a professor in the Department of Chemistry at the University of Texas at Austin, within the College of Natural Sciences. His research group focuses broadly on physical organic and supramolecular chemistry, utilizing mechanistic insights and photophysics to develop sensing systems for real-life applications. His work includes creating rapid screening assays for enantiomeric excess, diastereomeric excess, and reaction yield to facilitate reaction discovery in catalytic asymmetric induction. Additionally, his group explores differential sensing using arrays of cross-reactive sensors to generate diagnostic patterns for individual analytes or complex mixture consistency. Current research efforts involve classifying kinase activity in cells and rapidly screening kinase inhibitors in parallel. Recently, his group has delved into reversible covalent bonding, developing reactions that can occur simultaneously in the same solution without crossover, with applications in material science, polymer synthesis, complex assembly formation, and self-replicating oligomers. He also collaborates with the Ellington and Marcotte groups on generating sequence-defined polymers and single-molecule peptide sequencing routines. His work extends to developing chemical sensors for real-world applications such as detecting counterfeit wine, spirits, and olive oil.

Research topics

• Computer Science
• Computational biology
• Artificial Intelligence
• Biology
• Data science
• Engineering
• Chemistry
• Programming language
• Bioinformatics
• Genetics

Selected publications

• The emerging landscape of single-molecule protein sequencing technologies

  Nature Methods · 2021 · 357 citations

  PublisherOA PDFDOI

• Indicator displacement assays (IDAs): the past, present and future

  Chemical Society Reviews · 2020 · 278 citations

  Indicator displacement assays (IDAs) offer a unique and innovative approach to molecular sensing. IDAs can facilitate the detection of a range of biologically/environmentally important species, provide a method for the detection of complex analytes or for the determination and discrimination of unknown sample mixtures. These attributes often cannot be achieved by traditional molecular sensors i.e. reaction-based sensors/chemosensors. The IDA pioneers Inouye, Shinkai, and Anslyn inspired research…

  PublisherOA PDFDOI

• The Evolution of Data-Driven Modeling in Organic Chemistry

  ACS Central Science · 2021 · 176 citations

  Senior authorCorresponding

  Organic chemistry is replete with complex relationships: for example, how a reactant's structure relates to the resulting product formed; how reaction conditions relate to yield; how a catalyst's structure relates to enantioselectivity. Questions like these are at the foundation of understanding reactivity and developing novel and improved reactions. An approach to probing these questions that is both longstanding and contemporary is data-driven modeling. Here, we provide a synopsis of the histo…

  DOI

• Chemical and linguistic considerations for encoding Chinese characters: an embodiment using chain-end degradable sequence-defined oligourethanes created by consecutive solid phase click chemistry

  Chemical Science · 2024 · 11 citations

  Senior authorCorresponding

  consecutive click reaction approach on an oligourethane backbone for writing, and a previously reported chain-end degradation routine for reading, we encoded/decoded a confucius proverb written in Chinese characters using two encoding schemes: Unicode and Zhèng Mă. Unicode is an internationally standardized arbitrary string of hexadecimal (base-16) symbols which efficiently encodes uniquely identifiable symbols but requires complete fidelity of transmission, or context-based inferential strategi…

  PublisherOA PDFDOI

• Site-Specific Chemoselective Cyclization and Fluorogenic Modification of Protein Cysteine Residues: From Side-Chain to Backbone

  Journal of the American Chemical Society · 2025-08-28 · 8 citations

  article

  The selective modification of natural protein templates has emerged as a powerful tool for investigating the protein structure and function as well as for designing therapeutic bioconjugates. While significant progress has been made in modifying protein side chains and terminal groups, backbone modifications remain underexplored due to the inherent inertness of amide bonds and the challenge of achieving site specificity. Despite the critical role of the backbone in the protein function, its sele…

  PublisherDOI

Recent grants

• NIH Grant R01EB000549

  NIH · $1.3M · 2007

• NIH Grant U01DE015017

  NIH · $3.6M · 2006

• Sensor arrays based on molecularly imprinted polymers for diagnosis of Sjogren's syndrome

  NIH · $340k · 2016–2020

Frequent coauthors

• Vincent M. Lynch

  The University of Texas at Austin

  99 shared

• V.M. Lynch

  34 shared

• Lei You

  32 shared

• Andrew D. Ellington

  The University of Texas at Austin

  32 shared

• Pedro Metola

  The University of Texas at Austin

  29 shared

• John J. Lavigne

  University of South Carolina Sumter

  25 shared

• Jonathan L. Sessler

  24 shared

• Tony D. James

  Henan Normal University

  23 shared

Labs

• Eric V AnslynPI

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